About OPSWAT
OPSWAT develops an end-to-end cybersecurity platform for IT, OT, and ICS critical infrastructure. Its solutions help organizations protect complex networks, secure devices, and meet compliance requirements.
Responsibilities
•Train and fine-tune models using curated datasets, and run systematic hyperparameter and architecture experiments
•Build and maintain evaluation suites, including regression tests for model behavior and benchmarks across model versions
•Analyze false positives and false negatives, and translate findings into dataset or training improvements
•Package models with documentation, benchmarks, and reproducible evaluation results for handoff to the Engine team
•Contribute to internal tools for experiment tracking and model comparison
Requirements
•2+ years of experience in ML engineering or applied data science
•Strong Python skills and hands-on experience with modern model training and fine-tuning workflows
•Experience with structured model evaluation, including accuracy, precision/recall trade-offs, drift, and edge-case analysis
•Comfortable working with defined acceptance criteria and production constraints
Conditions
•The role is based in the newly opening Budapest office
•No other conditions specified
